PiecewiseExpand (Built-in Mathematica Symbol)

PiecewiseExpand[expr] expands nested piecewise functions in expr to give a single piecewise function. PiecewiseExpand[expr, assum] expands piecewise functions using ...

Database Resources (DatabaseLink Tutorial)

DatabaseLink allows other Mathematica applications to hold resource information for database connections in DatabaseResources directories. There are a number of possible ...

PairedBarChart (Built-in Mathematica Symbol)

PairedBarChart[{y_1, y_2, ...}, {z_1, z_2, ...}] makes a paired bar chart with bar lengths y_1, y_2, ... and z_1, z_2, ..., respectively.PairedBarChart[{..., w_i[y_i, ...], ...

KagiChart (Built-in Mathematica Symbol)

KagiChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a Kagi chart with prices p_i at date date_i.KagiChart[{" name", daterange}] makes a Kagi chart of closing prices for the ...

PairedHistogram (Built-in Mathematica Symbol)

PairedHistogram[{x_1, x_2, ...}, {y_1, y_2, ...}] plots a paired histogram of the values x_i and y_i.PairedHistogram[{x_1, x_2, ...}, {y_1, y_2, ...}, bspec] plots a paired ...

PointFigureChart (Built-in Mathematica Symbol)

PointFigureChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a point and figure chart with prices p_i at date date_i.PointFigureChart[{" name", daterange}] makes a point and ...

RenkoChart (Built-in Mathematica Symbol)

RenkoChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a Renko chart with prices p_i at date date_i.RenkoChart[{" name", daterange}] makes a Renko chart of closing prices for ...

NIntegrate Integration Rules (Mathematica Tutorial)

An integration rule computes an estimate of an integral over a region, typically using a weighted sum. In the context of NIntegrate usage, an integration rule object provides ...

Line Search Methods (Mathematica Tutorial)

A method like "Newton's" method chooses a step, but the validity of that step only goes as far as the Newton quadratic model for the function really reflects the function. ...

Random Number Generation (Mathematica Tutorial)

The ability to generate pseudorandom numbers is important for simulating events, estimating probabilities and other quantities, making randomized assignments or selections, ...